Key result
Noninvasive arterial pulse-effect indices discriminate endurance running performance levels with an AUC of ~0.88.
Why the study?
Differences between vascular and blood-flow perfusion conditions under different levels of endurance-running performance remained unclear.
Does endurance running performance level correlate with differences in noninvasively measured arterial pulse and blood-flow perfusion parameters in healthy male runners?
Cross-Sectional (n=44)
Does endurance running performance level correlate with differences in noninvasively measured arterial pulse and blood-flow perfusion parameters in healthy male runners?
Noninvasive arterial pulse and laser Doppler indices can successfully evaluate physiological changes in arterial stiffness and discriminate between levels of endurance running performance.
May support noninvasive pulse indices for runner stratification; hypothesis-generating and requires prospective validation before any clinical use.
BACKGROUND AND AIMS: Running can induce advantageous cardiovascular effects such as improved arterial stiffness and blood-supply perfusion. However, the differences between the vascular and blood-flow perfusion conditions under different levels of endurance-running performance remains unclear. The present study aimed to assess the vascular and blood-flow perfusion conditions among 3 groups (44 male volunteers) according to the time taken to run 3 km: Level 1, Level 2, and Level 3. METHODS: The radial blood pressure waveform (BPW), finger photoplethygraphy (PPG), and skin-surface laser-Doppler flowmetry (LDF) signals of the subjects were measured. Frequency-domain analysis was applied to BPW and PPG signals; time- and frequency-domain analyses were applied to LDF signals. RESULTS: Pulse waveform and LDF indices differed significantly among the three groups. These could be used to evaluate the advantageous cardiovascular effects provided by long-term endurance-running training, such as vessel relaxation (pulse waveform indices), improvement in blood supply perfusion (LDF indices), and changes in cardiovascular regulation activities (pulse and LDF variability indices). Using the relative changes in pulse-effect indices, we achieved almost perfect discrimination between Level 3 and Level 2 (AUC = 0.878). Furthermore, the present pulse waveform analysis could also be used to discriminate between the Level-1 and Level-2 groups. CONCLUSIONS: The present findings contribute to the development of a noninvasive, easy-to-use, and objective evaluation technique for the cardiovascular benefits of prolonged endurance-running training.
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Lin et al. (2023) conducted a cross-sectional in Healthy male runners (n=44). Endurance running performance level vs. Different performance levels (time to run 3 km) was evaluated on Discrimination between Level 3 and Level 2 runners using relative changes in pulse-effect indices (AUC = 0.878). Relative changes in pulse-effect indices from noninvasive arterial pulse waveform analyses achieved almost perfect discrimination between different endurance running performance levels (AUC = 0.878).
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